Should I change anything or stay natural? ⌘ Read more

@lyse@lyse.isobeef.org Nature is cruel.

And the humidity sucks. It’s been a horrible day. 🥴

Should I change anything or stay natural? ⌘ Read more

It’s one of the reasons in fact I’ve been working on bob so I have a very concrete and strong foundation for how these things work, how they behave and how bad or good they can be. I am on-purpose building bob to be not only a decent coding tool and general task completion tool, but with serious security boundaries, sanitation, auditing and compliance. If I’m going to succeed at building autoonmous agents that can cope with a wider array of varying inputs (mostly natural language, some structural language) then it needs to be both a) Safe and b) Robust

@prologic@twtxt.net Ahh, I see. Okay, I’m with you there. On this high level, I can understand how the thing works.

Maybe my wording isn’t good. 🤔 Let’s take a real life example from what we do at work.

There’s this AI chatbot. It gets support requests from users, so the user says something like “I need access to a particular system”. This triggers the bot to “run” the instructions stored in a large Markdown file, like “check if the user is authorized to do this, then issue the following API requests”, and so on. This is essentially like running a little script, except it’s written in natural language (German) and there’s no “script interpreter” but just the AI.

Now, suppose that the AI doesn’t quite do what was intended. There’s some subtle bug. How do you debug this? How do you find out how the AI came to the “conclusion” to run step A instead of step B? And how do you find out how exactly you have to change your prompt so this doesn’t happen again next time?

If this was an actual script/program instead of AI, you could repeat the request and attach a debugger or throw in some printf() or whatever. How do you do that kind of thing with AI? How do you pinpoint exactly what the problem was?

(Or is this just a stupid idea? Do we have to give up that way of thinking when using AI? Is the era of debuggability over?)

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[$] A trademark dispute over MeshCore
MeshCore is a relatively new project, started in January 2025, that aims
to build a scalable mesh network using low-power long-distance radios. While
many other projects of the same general nature have been tried before, MeshCore
grew quickly because of its more efficient message routing and enthusiastic
community. In early 2026, an early proponent of the project made a sudden shift
that left the rest of the community stunned and embroile … ⌘ Read more

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Occupy Wall Street Co-Founder Built an On-Device AI For Activists
An anonymous reader quotes a report from Gizmodo: In an era where Silicon Valley’s conservatism is both expressed openly and becoming more intense by the day, it’s strange to think that tech was once seen as a hive of liberalism. The right-wing nature of today’s tech industry means that its products tend to also be seen as serving right-wing int … ⌘ Read more

Of course, @movq@www.uninformativ.de! Most of my points are also included in your list.

First of all, programming is what I really do enjoy the most. So, it doesn’t make any sense at all to not do this anymore. “But you could use your now free time to do something much cooler and more valuable!”, others might reply. Fuck no, I don’t want to waste my time with other shit that doesn’t fulfill me, why on earth would I want to do that?

All this hallucination reduces quality badly. In my experience, it’s also happening much more rapidly than I expected. Even though developers are still supposed to own and understand whatever has been generated under their name and even be responsible for that, the sad reality is that teammates often blindly trust the AI output. “But I asked the AI and it told me that $this was impossible”, “I’ve no idea either, but the AI just generated it” are responses I get more often. What really makes my angry is when I point out a flaw and suggest an alternative and this is the reaction. It happened several times that just trying it out and seeing it clearly work to proof my point only took me half a minute, but people still did something handwavy else instead.

The learning effect is drastically reduced. The more time I spend on a topic, the better the odds that whatever I learned actually makes it over into long-term memory. It’s like if a collegue just says “do it like that” or “this solves your problem”, but neither explains the why or how. Somehow, people are still convinced that it’s a completely different story when you replace the human counterpart with a computer program in this equation.

Skills are unlearned. It’s like with automation in general, just much worse. You end up in a state where you’ve no clue how anything works under the hood or how to actually find out important information that are needed to solve your problem. You’re screwed when a process breaks out of the blue. Even though it can become also rather terrible, with classical automation you’re typically still be able to decipher how exactly the thing was supposed to do something.

The energy consumption is sooo high, I absolutely do not want to be a part in burning down our planet. I’m sure I find (and probably have long found without knowing) other ways to contribute to worsen our climate crisis.

The scraper part is already covered in detail in your list. :-)

I’m convinced that license and copyright violations are only played down or even refused entirely because companies want to make big money quickly. With the work of others of course. Their double standards are obvious, they still try to actively keep their own stuff secret and out of any training sets. At most for internal use only. Virtually noone in charge is interested in good long-term solutions. Short-term for the win, when disaster eventually strikes, the causers are long gone, the responsibilities in other hands.

Vendor lock-in is something that lots of folks are only realizing very slowly. It’s completely crazy to me. This drug dealer routine should be well-known by now. It’s fucking everywhere. Yet, people are always surprised when they found themselves caught in it.

Adding new AI stuff only increases complexity. But complexity is the enemy that everybody should fear and reduce as much as possible. Of course, this is not limited to AI at all. And everywhere I look around, people in charge looooove to make things way more complicated than they ever need to be. Yet, simplicity is the real art and much harder to achieve.

I don’t understand why we have to go back full force to the ambiguity of natural languages. This alone should be more than enough to realize what a stupid idea all that is. Linked to that is that the “instruction set” is interpreted differently with newer model versions. I mean, is has to be. Why else would somebody want to upgrade in the first place than to get more Powerful™ Features™?

Some people argue that with AI the democratization is empowered. However, in my view, the exact opposite is the case. Models are getting so large that you can basically not run them locally or even train them. So, you have to rely on whatever the vendor offers you and runs for you. In the end, this only gives the owners more power, the multi billionaires. Not exactly what I understand by democratization.

Finally, technology assessments are missing completely. Or they are faked such that mostly only the (questionable) benefits are listed. But all the negative impact is just ignored.

Let’s keep some popcorn around for when this all explodes. :-)

A Eureka machine that thinks like nature and explores what AI cannot
Article URL: https://iisc.ac.in/a-eureka-machine-that-thinks-like-nature-and-explores-what-ai-cannot/

Comments URL: https://news.ycombinator.com/item?id=48305446

Points: 5

# Comments: 0 ⌘ Read more

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QuiznessDesk, Wednesday, May 27
Which range of hills forms a natural border between Scotland and England?
Titan and Pandora are moons of which planet?
Which famous artist`s career stretched from 1895 to his death in 1973?
Which American president ordered the dropping of the first atomic bomb?
The song Moon River appeared in which 1961 film?
What does the word “forte” mean in music? Soft, fast or loud?
What colour is the Ferrari emblem’s background?
How many players make up a volleyball team?
W … ⌘ Read more`

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Government backs $1.2b loan scheme to shift firms off gas
The Government will guarantee up to $1.2 billion of bank lending to help businesses reduce their reliance on natural gas, as it looks to preserve dwindling domestic supply for users with fewer alternatives.

Finance Minister Nicola Willis, Energy Minister Simeon Brown and Associate Energy Minister Shane Jones said the [Gas Transition Loan Guarantee Scheme](https://businessdesk.co.nz/article/budget-2026/gas-users-b … ⌘ Read more

The political polarization of health outcomes in the USA
Article URL: https://www.nature.com/articles/s41562-026-02474-9

Comments URL: https://news.ycombinator.com/item?id=48260331

Points: 10

# Comments: 1 ⌘ Read more

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Webb Discovers One of the Universe’s First Galaxies
Astronomers using the James Webb Space Telescope have identified an ultra-faint galaxy seen just 800 million years after the Big Bang. The galaxy contains almost no heavy elements, shows signs of intense early stellar radiation, and could offer a rare glimpse into the first stages of galaxy formation. Phys.org reports: In a paper published in the journal Nature, a team o … ⌘ Read more

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Niederschlag bringt nur leichte Erholung
Nach langer Zeit hat es in dieser Woche wieder einmal in ganz Österreich geregnet. Für die von der Trockenheit geplagte Natur und damit auch für viele Landwirte bedeutet das aber nur ein vorübergehendes Durchatmen. Gemittelt fehlt seit Jahresbeginn immer noch rund ein Drittel des üblichen Niederschlags, im Norden des Landes zum Teil sogar noch mehr als die Hälfte. Laut GeoSphere Austria hat das Land heuer die trockenste März-April-Periode seit Beginn der Messungen im Jahr 1858 erlebt. ⌘ Read more

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